Tech Stack

Description

You will design, implement, and deploy state-of-the-art foundation models on our robots. You'll develop, fine-tune, and optimize models using techniques like pre-training, RAG, and RLHF, building training and deployment pipelines while collaborating with cross-functional teams.

Requirements

• MS or PhD in Computer Science, Machine Learning, AI, or related field
• Deep understanding of attention mechanisms, transformers, and training techniques
• Experience with fine-tuning, RAG, prompt engineering, or RLHF
• Proficiency in Python and ML tools
• Strong grasp of theoretical concepts and practical implementation of multimodal foundation models

Responsibilities

• Develop, fine-tune, and optimize foundation models for the robot using pre-training, fine-tuning, and RAG
• Build pipelines for training, evaluation, and deployment of models on various platforms
• Incorporate cutting-edge advancements in AI and foundation models
• Own critical projects end-to-end from model design to deployment and continuous improvement
• Collaborate with cross-functional teams to integrate models into production workflows